ABSTRACT
Objective:Based on the holistic view of traditional Chinese medicine（TCM） and the characteristics of syndrome differentiation and treatment，methods of distance clustering and distance clustering combined with pseudo-bit clear（BIC） criteria are adopted in this study to simulate the doctor's clinical prescription process，and excavate a clinician's core prescription for the treatment of a specific disease. Method:In this study， it was believed that the clinical prescriptions of TCM can be divided into the core prescription for the treatment of the main syndrome and the addition and subtraction part of the medication for the concurrent syndrome. The hospital information system （HIS）was used to export the medical records of specific diseases，and then the methods of distance clustering and distance clustering combined with pseudo-BIC criteria were adopted to analyze professor WANG Jun-hong's 103 prescriptions for the treatment of Qi and Yin deficiency type of attention deficit hyperactivity disorder（ADHD）. The core prescriptions were screened by finding the optimal balance between the number of herbs and the proportion of population using the herbs. Result:Test4 consisted of 15 herbs such as Acori Tatarinowii Rhizoma，Crataegi Fructus，Lycii Fructus，Gall1 Gigerii Endothelium Corneum，and Pseudostellariae Radix were selected as the core prescription. In analysis by TCM theory and confirmation by professor WANG Jun-hong， it was proved to meet the characteristics of TCM treatment for ADHD. Conclusion:Combination of distance clustering with pseudo-BIC criteria method can effectively sort and screen the core clinical prescriptions of TCM，and compared with the current core prescription screening methods，it is characterized by conforming to the doctor's clinical prescription process. This research is helpful to provide certain support for inheriting the experience from famous TCM doctors and for the development of new Chinese medicines.
ABSTRACT
Objective To analyze the related factors with prognosis in patients with serous ovarian adenocarcinoma and to set up a prognostic model of serous ovarian adenocarcinoma.Methods The clinical, pathological and follow-up data of 104 cases with serous ovarian adenocarcinoma were retrospectively analyzed.Kaplan-meier univariate analysis was used to screen the prognostic factors;COX univariate and multivariate analyses were used to determine the risk coefficient of each factors and different layers in each factor.Pearson rank correlation was used to reject the influence of different factors with each other.And the prognostic model of serous ovarian adenocarcinoma was set up based on the result of the above study,which could be used to deduce the survival probability of patients with serous ovarian adenocarcinoma.Results International Federation of Gynecology and Obstetrics(FIGO)stage(P=0.0029),histological grade(P= 0.0054),residual disease(P=0.0000),metastasis of lymph nodes(P=0.0000)and chemotherapy(P= 0.0000)were the related factors of prognosis in patients with serous ovarian adenocareinoma,of which FIGO stage was the most important one,followed sequentially by histological grade,metastasis of lymph node, residual disease and chemotherapy(the independent risk coefficient of each factor was 1.3392,0.9206, 0.7071,0.6004,0.4985 in sequence).We set up a prognosis model according to the prognostic index of each factors.The effect of chemotherapy and residual disease on prognosis could be quantified by this model, and the higher the score,the lower the survival probability of patients.Condusions FIGO stage, histological grade,residual disease,metastasis of lymph nodes and chemotherapy are important prognostic factors of serous ovarian adenoearcinoma.This model can be used to estimate the prognosis of patients with serous ovarian adenoearcinoma,and the effect of both chemotherapy and residual disease on the prognosis could be quantified by the model.